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Artificial Intelligence and Deep Learning in Pathology
9780323675383
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Description
Recent advances in computational algorithms, along with the advent of whole slide imaging as a platform for embedding artificial intelligence (AI), are transforming pattern recognition and image interpretation for diagnosis and prognosis. Yet most pathologists have just a passing knowledge of data mining, machine learning, and AI, and little exposure to the vast potential of these powerful new tools for medicine in general and pathology in particular. In Artificial Intelligence and Deep Learning in Pathology, Dr. Dr. Stanley Cohen, with a team of experts, covers the nuts and bolts of all aspects of machine learning, up to and including AI, bringing familiarity and understanding to pathologists at all levels of experience.
Product Details
80884
9780323675383
9780323675383
Data sheet
- Publication date
- 2020
- Issue number
- 1
- Cover
- paperback
- Pages count
- 288
- Dimensions (mm)
- 191 x 235
- Weight (g)
- 590
- The evolution of machine learning: past, present, and future
Stanley Cohen
- The basics of machine learning: strategies and techniques
Stanley Cohen
Overview of advanced neural network architectures
Benjamin R. Mitchell
Complexity in the use of artificial intelligence in anatomic pathology
Stanley Cohen
Dealing with data: strategies of preprocessing data
Stanley Cohen
Digital pathology as a platform for primary diagnosis and augmentation via deep learning.
Anil V. Parwani
Applications of artificial intelligence for image enhancement in pathology
Tanishq Abraham, Austin Todd, Daniel A. Orringer and Richard Levenson
Precision medicine in digital pathology via image analysis and machine learning
Peter D. Caie, Neofytos Dimitriou and Ognjen Arandjelovic
Artificial intelligence methods for predictive image-based grading of human cancers
Gerardo Fernandez, Abishek Sainath Madduri, Bahram Marami, Marcel Prastawa, Richard Scott, Jack Zeineh and Michael Donovan
Artificial intelligence and the interplay between tumor and immunity
Joel Haskin Saltz and Rajarsi Gupta
Overview of the role of artificial intelligence in pathology: the computer as a pathology digital assistant
John E. Tomaszewski
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